Texts

SciHTC

Introduced in Hierarchical Multi-Label Classification of Scientific Documents2022

About this Dataset

SciHTC is a dataset for hierarchical multi-label text classification (HMLTC) of scientific papers which contains 186,160 papers and 1,233 categories from the ACM CCS tree.

Source: Hierarchical Multi-Label Classification of Scientific Documents

Image Source: https://arxiv.org/pdf/2211.02810v1.pdf

Source: Hierarchical Multi-Label Classification of Scientific Documents

Dataset Variants

SciHTC

Papers1

Hierarchical Multi-Label Classification of Scientific Documents

A new dataset for hierarchical multi-label text classification (HMLTC) of scientific papers called SciHTC, which contains 186,160 papers and 1,234 categories from the ACM CCS tree is introduced and a multi-task learning approach for topic classification with keyword labeling as an auxiliary task is proposed.

Tasks

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Classification Text Classification Multi-Label Text Classification Hierarchical Multi-label Classification

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